Modeling comorbidity of chronic diseases using coupled hidden Markov model with bivariate discrete copula

A range of chronic diseases have a significant influence on each other and share common risk factors. Comorbidity, which shows the existence of two or more diseases interacting or triggering each other, is an important measure for actuarial valuations. The main proposal of the study is to model para...

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Bibliographic Details

Published in:	Statistical methods in medical research Vol. 32; no. 4; p. 829
Main Authors:	Oflaz, Zarina, Yozgatligil, Ceylan, Selcuk-Kestel, A Sevtap
Format:	Journal Article
Language:	English
Published:	England 01.04.2023
Subjects:	Algorithms Chronic Disease Comorbidity Humans Markov Chains Risk Factors Coupled hidden Markov model comorbidity discrete copula dependency in hidden process chronic diseases
ISSN:	1477-0334, 1477-0334
Online Access:	Get more information
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